Background: Peritoneal carcinomatosis is challenging to treat, with poor prognosis. Although pressurized intraperitoneal aerosol chemotherapy (PIPAC) and hyperthermal PIPAC (HPIPAC) aim to improve patients’ quality of life, there is a potential risk of antineoplastic drug exposure to healthcare workers during surgery. This study evaluates the risk of oxaliplatin exposure among healthcare workers during PIPAC and HPIPAC compared to systemic intravenous chemotherapy (IV). Methods: Oxaliplatin was administered to a swine model via IV, PIPAC, and HPIPAC in the operating room. Surface samples (n = 484) were collected from the operating room and personal protective equipment (PPE), while air samples (n = 144) were taken near the respiratory tract. Platinum, as an indicator of oxaliplatin, was measured using inductively coupled plasma mass spectrometry (ICP-MS). Results: Platinum was undetectable in 98.6% of the air samples, except one PIPAC leakage case. Surface contamination occurred in 8.7% of room samples and 13.9% of PPE, with gloves being most affected.Platinum contamination was also found on instruments like endoscope cameras and injectors, and cross-contamination on floors and injectors before PIPAC indicated suboptimal cleaning. No platinum was detected in the experimenter’s blood and urine. Conclusion Airborne platinum exposure was minimal when no drug leakage occurred, but surface contamination, particularly on gloves and instruments, highlighted the need for stringent protective measures to reduce occupational exposure risk. Although the possibility of inhalation exposure was low and there are no legal exposure standards for oxaliplatin, precautions should be taken to avoid potential exposure.

Per- and polyfluoroalkyl substances (PFAS) are increasingly recognized as airborne contaminants of concern, yet their distribution across environments remains under-characterized. In particular, con centrations in industrial settings have hardly been studied compared to general environments. This review synthesizes findings from 25 studies reporting airborne PFAS across four categories: outdoor general environments, indoor general environments, outdoor occupational environments, and indoor occupational environments. Reported levels were generally lowest outdoors (0.5—3.0 ng/m3 ), higher in general indoor settings (3.0—15.0 ng/m 3 ), and highest in occupational environments, sometimes exceeding 100 ng/m 3 . Volatile precursors such as fluorotelomer alcohols dominated most environments, while particle-bound ionic PFAS were more common in occupational settings, suggesting distinct exposure pathways. Across studies, airborne PFAS levels were lowest outdoors, higher indoors, and highest in occupational settings. The complexity of PFAS behavior, influenced by chemical species and particle/gas-phase partitioning, underscores challenges in exposure assessment. Despite the relatively low airborne PFAS concentrations, this review confirms that inhalation remains a critical exposure pathway due to the persistence, bioaccumulation, and toxicity of PFAS. Standardized measurement methods, geographically diverse monitoring, and integration with exposure modeling are urgently needed. Strengthening regulatory frameworks and establishing protective exposure limits will be essential to mitigate long-term health impacts.

Background: There is little information about the airborne hazardous agents released during the heat treatment when manufacturing a welding material. This study aimed to evaluate the airborne hazardous agents generated at welding material manufacturing sites through area sampling. Methods: concentration of airborne particles was measured using a scanning mobility particle sizer and optical particle sizer. Total suspended particles (TSP) and respirable dust samples were collected on polyvinyl chloride filters and weighed to measure the mass concentrations. Volatile organic compounds and heavy metals were analyzed using a gas chromatography mass spectrometer and inductively coupled plasma mass spectrometer, respectively. Results: The average mass concentration of TSP was 683.1 ± 677.4 μg/m3, with respirable dust accounting for 38.6% of the TSP. The average concentration of the airborne particles less than 10 μm in diameter was 11.2–22.8 × 104 particles/cm3, and the average number of the particles with a diameter of 10–100 nm was approximately 78–86% of the total measured particles (<10 μm). In the case of volatile organic compounds, the heat treatment process concentration was significantly higher (p < 0.05) during combustion than during cooling. The airborne heavy metal concentrations differed depending on the materials used for heat treatment. The content of heavy metals in the airborne particles was approximately 32.6%. Conclusions Nanoparticle exposure increased as the number of particles in the air around the heat treatment process increases, and the ratio of heavy metals in dust generated after the heat treatment process is high, which may adversely affect workers' health.

PURPOSE: This study was done to investigate quality of sleep and heart rate variability by the physical activity in high school students. METHODS: A survey that measures physical activity and quality of sleep was distributed to 118 students at Y High School. Heart rate variability was obtained using the LXC3203 heart rate monitor. The data of 105 students were analyzed using descriptive statistics, t-test, x2-test, and ANOVA with Scheffe test. RESULTS: Boys and students with part-time jobs had significantly higher physical activity. The quality of sleep was significantly high when the students were non-smokers, felt healthy, happy, less stressed, and satisfied with their school lives. Mean heart rate was significantly higher among girls, and standard deviation from normal to normal R-R intervals were high in boys. Physical activity had no significant relationships with quality of sleep and heart rate variability. CONCLUSIONS: Physical activity should be encouraged for high school students, especially for girls. An experimental study with different intensity and time of physical activity is recommended to examine the relationships with quality of sleep and heart rate variability in the future.
Adolescent ; Analysis of Variance ; Female ; Heart Rate* ; Heart* ; Humans ; Motor Activity*

A recently developed machine learning algorithm referred to as Extreme Learning Machine (ELM) was used to classify machine control commands out of time series of spike trains of ensembles of CA1 hippocampus neurons (n=34) of a rat, which was performing a target-to-goal task on a two-dimensional space through a brain-machine interface system. Performance of ELM was analyzed in terms of training time and classification accuracy. The results showed that some processes such as class code prefix, redundancy code suffix and smoothing effect of the classifiers' outputs could improve the accuracy of classification of robot control commands for a brain-machine interface system.
Aniline Compounds ; Animals ; Brain-Computer Interfaces ; Hippocampus ; Learning ; Neural Prostheses ; Neurons ; Rats ; Machine Learning